{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 960x690 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import mplfinance as mpf\n",
    "import pandas as pd\n",
    "import akshare as ak\n",
    "\n",
    "\n",
    "symbol=\"000001\"\n",
    "# 获取股票后复权数据\n",
    "df = ak.stock_zh_a_hist(symbol=symbol, period=\"daily\", \n",
    "                        start_date=\"20240101\", end_date='20240607', adjust=\"qfq\").iloc[:, :6]\n",
    "# 处理字段命名\n",
    "df.columns = ['date', 'open', 'close', 'high', 'low', 'volume']\n",
    "# 将date设为索引\n",
    "df.index = pd.to_datetime(df['date'])\n",
    "\n",
    "\n",
    "\n",
    "# 绘制K线图和成交量图\n",
    "mpf.plot(df, type='candle', style='charles',\n",
    "         volume=True,  # 显示成交量\n",
    "         title=f'{symbol} Stock Price and Volume',\n",
    "         ylabel='Price ($)',\n",
    "         ylabel_lower='Volume',\n",
    "         show_nontrading=True,\n",
    "         figscale=1.2,  # 调整图形大小\n",
    "         tight_layout=True)\n",
    "\n",
    "\n",
    "\n",
    "# 注意：这段代码会直接显示图形，如果在非交互式环境中运行（如Jupyter Notebook之外），需要添加plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>换手率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>15.74</td>\n",
       "      <td>15.96</td>\n",
       "      <td>16.04</td>\n",
       "      <td>15.64</td>\n",
       "      <td>1530232</td>\n",
       "      <td>2.571196e+09</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-03</td>\n",
       "      <td>16.03</td>\n",
       "      <td>16.27</td>\n",
       "      <td>16.40</td>\n",
       "      <td>16.01</td>\n",
       "      <td>1116195</td>\n",
       "      <td>1.914495e+09</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.94</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-06</td>\n",
       "      <td>16.10</td>\n",
       "      <td>16.16</td>\n",
       "      <td>16.43</td>\n",
       "      <td>16.00</td>\n",
       "      <td>862084</td>\n",
       "      <td>1.477930e+09</td>\n",
       "      <td>2.64</td>\n",
       "      <td>-0.68</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>0.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-07</td>\n",
       "      <td>16.22</td>\n",
       "      <td>16.24</td>\n",
       "      <td>16.37</td>\n",
       "      <td>16.04</td>\n",
       "      <td>728608</td>\n",
       "      <td>1.247047e+09</td>\n",
       "      <td>2.04</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-08</td>\n",
       "      <td>16.09</td>\n",
       "      <td>15.75</td>\n",
       "      <td>16.14</td>\n",
       "      <td>15.72</td>\n",
       "      <td>847824</td>\n",
       "      <td>1.423609e+09</td>\n",
       "      <td>2.59</td>\n",
       "      <td>-3.02</td>\n",
       "      <td>-0.49</td>\n",
       "      <td>0.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-01-09</td>\n",
       "      <td>15.90</td>\n",
       "      <td>15.88</td>\n",
       "      <td>16.02</td>\n",
       "      <td>15.62</td>\n",
       "      <td>1031637</td>\n",
       "      <td>1.725327e+09</td>\n",
       "      <td>2.54</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020-01-10</td>\n",
       "      <td>15.88</td>\n",
       "      <td>15.78</td>\n",
       "      <td>15.90</td>\n",
       "      <td>15.61</td>\n",
       "      <td>585548</td>\n",
       "      <td>9.751548e+08</td>\n",
       "      <td>1.83</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020-01-13</td>\n",
       "      <td>15.84</td>\n",
       "      <td>16.08</td>\n",
       "      <td>16.12</td>\n",
       "      <td>15.70</td>\n",
       "      <td>872133</td>\n",
       "      <td>1.468272e+09</td>\n",
       "      <td>2.66</td>\n",
       "      <td>1.90</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020-01-14</td>\n",
       "      <td>16.08</td>\n",
       "      <td>15.85</td>\n",
       "      <td>16.36</td>\n",
       "      <td>15.85</td>\n",
       "      <td>1304494</td>\n",
       "      <td>2.217609e+09</td>\n",
       "      <td>3.17</td>\n",
       "      <td>-1.43</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>0.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020-01-15</td>\n",
       "      <td>15.88</td>\n",
       "      <td>15.61</td>\n",
       "      <td>15.95</td>\n",
       "      <td>15.54</td>\n",
       "      <td>859439</td>\n",
       "      <td>1.424889e+09</td>\n",
       "      <td>2.59</td>\n",
       "      <td>-1.51</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>0.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2020-01-16</td>\n",
       "      <td>15.61</td>\n",
       "      <td>15.42</td>\n",
       "      <td>15.66</td>\n",
       "      <td>15.29</td>\n",
       "      <td>1028105</td>\n",
       "      <td>1.678889e+09</td>\n",
       "      <td>2.37</td>\n",
       "      <td>-1.22</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>0.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020-01-17</td>\n",
       "      <td>15.47</td>\n",
       "      <td>15.48</td>\n",
       "      <td>15.64</td>\n",
       "      <td>15.44</td>\n",
       "      <td>605437</td>\n",
       "      <td>9.959090e+08</td>\n",
       "      <td>1.30</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2020-01-20</td>\n",
       "      <td>15.52</td>\n",
       "      <td>15.54</td>\n",
       "      <td>15.70</td>\n",
       "      <td>15.44</td>\n",
       "      <td>746075</td>\n",
       "      <td>1.226465e+09</td>\n",
       "      <td>1.68</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2020-01-21</td>\n",
       "      <td>15.43</td>\n",
       "      <td>15.09</td>\n",
       "      <td>15.43</td>\n",
       "      <td>15.02</td>\n",
       "      <td>896603</td>\n",
       "      <td>1.442171e+09</td>\n",
       "      <td>2.64</td>\n",
       "      <td>-2.90</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>0.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>15.01</td>\n",
       "      <td>15.18</td>\n",
       "      <td>15.25</td>\n",
       "      <td>14.80</td>\n",
       "      <td>719465</td>\n",
       "      <td>1.150933e+09</td>\n",
       "      <td>2.98</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>15.01</td>\n",
       "      <td>14.63</td>\n",
       "      <td>15.01</td>\n",
       "      <td>14.48</td>\n",
       "      <td>1100592</td>\n",
       "      <td>1.723394e+09</td>\n",
       "      <td>3.49</td>\n",
       "      <td>-3.62</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>0.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>13.08</td>\n",
       "      <td>13.08</td>\n",
       "      <td>13.79</td>\n",
       "      <td>13.08</td>\n",
       "      <td>2259195</td>\n",
       "      <td>3.201454e+09</td>\n",
       "      <td>4.85</td>\n",
       "      <td>-10.59</td>\n",
       "      <td>-1.55</td>\n",
       "      <td>1.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2020-02-04</td>\n",
       "      <td>13.14</td>\n",
       "      <td>13.69</td>\n",
       "      <td>13.75</td>\n",
       "      <td>13.11</td>\n",
       "      <td>1706172</td>\n",
       "      <td>2.442933e+09</td>\n",
       "      <td>4.89</td>\n",
       "      <td>4.66</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2020-02-05</td>\n",
       "      <td>13.68</td>\n",
       "      <td>13.72</td>\n",
       "      <td>13.98</td>\n",
       "      <td>13.41</td>\n",
       "      <td>1491380</td>\n",
       "      <td>2.177632e+09</td>\n",
       "      <td>4.16</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2020-02-06</td>\n",
       "      <td>13.90</td>\n",
       "      <td>13.86</td>\n",
       "      <td>13.96</td>\n",
       "      <td>13.60</td>\n",
       "      <td>1185816</td>\n",
       "      <td>1.740108e+09</td>\n",
       "      <td>2.62</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2020-02-07</td>\n",
       "      <td>13.69</td>\n",
       "      <td>13.71</td>\n",
       "      <td>13.78</td>\n",
       "      <td>13.50</td>\n",
       "      <td>924853</td>\n",
       "      <td>1.345053e+09</td>\n",
       "      <td>2.02</td>\n",
       "      <td>-1.08</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>0.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2020-02-10</td>\n",
       "      <td>13.60</td>\n",
       "      <td>13.59</td>\n",
       "      <td>13.62</td>\n",
       "      <td>13.39</td>\n",
       "      <td>1339495</td>\n",
       "      <td>1.931983e+09</td>\n",
       "      <td>1.68</td>\n",
       "      <td>-0.88</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2020-02-11</td>\n",
       "      <td>13.69</td>\n",
       "      <td>13.88</td>\n",
       "      <td>14.03</td>\n",
       "      <td>13.65</td>\n",
       "      <td>1407507</td>\n",
       "      <td>2.077194e+09</td>\n",
       "      <td>2.80</td>\n",
       "      <td>2.13</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>13.88</td>\n",
       "      <td>13.86</td>\n",
       "      <td>13.91</td>\n",
       "      <td>13.69</td>\n",
       "      <td>1070503</td>\n",
       "      <td>1.573229e+09</td>\n",
       "      <td>1.59</td>\n",
       "      <td>-0.14</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2020-02-13</td>\n",
       "      <td>13.80</td>\n",
       "      <td>13.74</td>\n",
       "      <td>13.97</td>\n",
       "      <td>13.70</td>\n",
       "      <td>1013205</td>\n",
       "      <td>1.491328e+09</td>\n",
       "      <td>1.95</td>\n",
       "      <td>-0.87</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2020-02-14</td>\n",
       "      <td>13.84</td>\n",
       "      <td>14.12</td>\n",
       "      <td>14.23</td>\n",
       "      <td>13.79</td>\n",
       "      <td>1512435</td>\n",
       "      <td>2.253906e+09</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.77</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2020-02-17</td>\n",
       "      <td>14.13</td>\n",
       "      <td>14.46</td>\n",
       "      <td>14.46</td>\n",
       "      <td>14.02</td>\n",
       "      <td>1543696</td>\n",
       "      <td>2.337994e+09</td>\n",
       "      <td>3.12</td>\n",
       "      <td>2.41</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2020-02-18</td>\n",
       "      <td>14.42</td>\n",
       "      <td>14.29</td>\n",
       "      <td>14.42</td>\n",
       "      <td>14.10</td>\n",
       "      <td>973612</td>\n",
       "      <td>1.478274e+09</td>\n",
       "      <td>2.21</td>\n",
       "      <td>-1.18</td>\n",
       "      <td>-0.17</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2020-02-19</td>\n",
       "      <td>14.19</td>\n",
       "      <td>14.33</td>\n",
       "      <td>14.46</td>\n",
       "      <td>14.17</td>\n",
       "      <td>874107</td>\n",
       "      <td>1.333730e+09</td>\n",
       "      <td>2.03</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2020-02-20</td>\n",
       "      <td>14.36</td>\n",
       "      <td>14.68</td>\n",
       "      <td>14.71</td>\n",
       "      <td>14.19</td>\n",
       "      <td>1235444</td>\n",
       "      <td>1.897923e+09</td>\n",
       "      <td>3.63</td>\n",
       "      <td>2.44</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2020-02-21</td>\n",
       "      <td>14.58</td>\n",
       "      <td>14.67</td>\n",
       "      <td>14.81</td>\n",
       "      <td>14.54</td>\n",
       "      <td>995071</td>\n",
       "      <td>1.546693e+09</td>\n",
       "      <td>1.84</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>14.55</td>\n",
       "      <td>14.32</td>\n",
       "      <td>14.55</td>\n",
       "      <td>14.24</td>\n",
       "      <td>1191795</td>\n",
       "      <td>1.820184e+09</td>\n",
       "      <td>2.11</td>\n",
       "      <td>-2.39</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>0.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2020-02-25</td>\n",
       "      <td>14.09</td>\n",
       "      <td>14.13</td>\n",
       "      <td>14.22</td>\n",
       "      <td>13.87</td>\n",
       "      <td>1144575</td>\n",
       "      <td>1.710370e+09</td>\n",
       "      <td>2.44</td>\n",
       "      <td>-1.33</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>0.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2020-02-26</td>\n",
       "      <td>13.86</td>\n",
       "      <td>14.08</td>\n",
       "      <td>14.36</td>\n",
       "      <td>13.79</td>\n",
       "      <td>1176599</td>\n",
       "      <td>1.769612e+09</td>\n",
       "      <td>4.03</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>0.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2020-02-27</td>\n",
       "      <td>14.05</td>\n",
       "      <td>14.20</td>\n",
       "      <td>14.24</td>\n",
       "      <td>13.98</td>\n",
       "      <td>975271</td>\n",
       "      <td>1.464606e+09</td>\n",
       "      <td>1.85</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>13.94</td>\n",
       "      <td>13.59</td>\n",
       "      <td>14.13</td>\n",
       "      <td>13.55</td>\n",
       "      <td>1300644</td>\n",
       "      <td>1.906892e+09</td>\n",
       "      <td>4.08</td>\n",
       "      <td>-4.30</td>\n",
       "      <td>-0.61</td>\n",
       "      <td>0.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>13.64</td>\n",
       "      <td>13.88</td>\n",
       "      <td>14.04</td>\n",
       "      <td>13.55</td>\n",
       "      <td>1116581</td>\n",
       "      <td>1.647432e+09</td>\n",
       "      <td>3.61</td>\n",
       "      <td>2.13</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2020-03-03</td>\n",
       "      <td>14.05</td>\n",
       "      <td>13.81</td>\n",
       "      <td>14.08</td>\n",
       "      <td>13.72</td>\n",
       "      <td>1153584</td>\n",
       "      <td>1.705816e+09</td>\n",
       "      <td>2.59</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>0.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>13.77</td>\n",
       "      <td>13.78</td>\n",
       "      <td>13.87</td>\n",
       "      <td>13.60</td>\n",
       "      <td>862595</td>\n",
       "      <td>1.261123e+09</td>\n",
       "      <td>1.96</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>0.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2020-03-05</td>\n",
       "      <td>13.89</td>\n",
       "      <td>14.48</td>\n",
       "      <td>14.73</td>\n",
       "      <td>13.82</td>\n",
       "      <td>2686602</td>\n",
       "      <td>4.089494e+09</td>\n",
       "      <td>6.60</td>\n",
       "      <td>5.08</td>\n",
       "      <td>0.70</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2020-03-06</td>\n",
       "      <td>14.27</td>\n",
       "      <td>14.12</td>\n",
       "      <td>14.36</td>\n",
       "      <td>14.11</td>\n",
       "      <td>1228531</td>\n",
       "      <td>1.858691e+09</td>\n",
       "      <td>1.73</td>\n",
       "      <td>-2.49</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>0.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2020-03-09</td>\n",
       "      <td>13.80</td>\n",
       "      <td>13.54</td>\n",
       "      <td>13.82</td>\n",
       "      <td>13.51</td>\n",
       "      <td>1665794</td>\n",
       "      <td>2.420392e+09</td>\n",
       "      <td>2.20</td>\n",
       "      <td>-4.11</td>\n",
       "      <td>-0.58</td>\n",
       "      <td>0.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2020-03-10</td>\n",
       "      <td>13.47</td>\n",
       "      <td>13.85</td>\n",
       "      <td>13.94</td>\n",
       "      <td>13.47</td>\n",
       "      <td>1167865</td>\n",
       "      <td>1.709085e+09</td>\n",
       "      <td>3.47</td>\n",
       "      <td>2.29</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>13.86</td>\n",
       "      <td>13.78</td>\n",
       "      <td>13.97</td>\n",
       "      <td>13.71</td>\n",
       "      <td>814382</td>\n",
       "      <td>1.201251e+09</td>\n",
       "      <td>1.88</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>0.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>13.74</td>\n",
       "      <td>13.77</td>\n",
       "      <td>13.93</td>\n",
       "      <td>13.62</td>\n",
       "      <td>986497</td>\n",
       "      <td>1.447437e+09</td>\n",
       "      <td>2.25</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2020-03-13</td>\n",
       "      <td>12.99</td>\n",
       "      <td>13.61</td>\n",
       "      <td>13.67</td>\n",
       "      <td>12.99</td>\n",
       "      <td>1169766</td>\n",
       "      <td>1.669010e+09</td>\n",
       "      <td>4.94</td>\n",
       "      <td>-1.16</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>0.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          日期   开盘   收盘   最高   最低   成交量        成交额  振幅  \\\n",
       "0   2020-01-02  15.74  15.96  16.04  15.64  1530232  2.571196e+09  2.57   \n",
       "1   2020-01-03  16.03  16.27  16.40  16.01  1116195  1.914495e+09  2.44   \n",
       "2   2020-01-06  16.10  16.16  16.43  16.00   862084  1.477930e+09  2.64   \n",
       "3   2020-01-07  16.22  16.24  16.37  16.04   728608  1.247047e+09  2.04   \n",
       "4   2020-01-08  16.09  15.75  16.14  15.72   847824  1.423609e+09  2.59   \n",
       "5   2020-01-09  15.90  15.88  16.02  15.62  1031637  1.725327e+09  2.54   \n",
       "6   2020-01-10  15.88  15.78  15.90  15.61   585548  9.751548e+08  1.83   \n",
       "7   2020-01-13  15.84  16.08  16.12  15.70   872133  1.468272e+09  2.66   \n",
       "8   2020-01-14  16.08  15.85  16.36  15.85  1304494  2.217609e+09  3.17   \n",
       "9   2020-01-15  15.88  15.61  15.95  15.54   859439  1.424889e+09  2.59   \n",
       "10  2020-01-16  15.61  15.42  15.66  15.29  1028105  1.678889e+09  2.37   \n",
       "11  2020-01-17  15.47  15.48  15.64  15.44   605437  9.959090e+08  1.30   \n",
       "12  2020-01-20  15.52  15.54  15.70  15.44   746075  1.226465e+09  1.68   \n",
       "13  2020-01-21  15.43  15.09  15.43  15.02   896603  1.442171e+09  2.64   \n",
       "14  2020-01-22  15.01  15.18  15.25  14.80   719465  1.150933e+09  2.98   \n",
       "15  2020-01-23  15.01  14.63  15.01  14.48  1100592  1.723394e+09  3.49   \n",
       "16  2020-02-03  13.08  13.08  13.79  13.08  2259195  3.201454e+09  4.85   \n",
       "17  2020-02-04  13.14  13.69  13.75  13.11  1706172  2.442933e+09  4.89   \n",
       "18  2020-02-05  13.68  13.72  13.98  13.41  1491380  2.177632e+09  4.16   \n",
       "19  2020-02-06  13.90  13.86  13.96  13.60  1185816  1.740108e+09  2.62   \n",
       "20  2020-02-07  13.69  13.71  13.78  13.50   924853  1.345053e+09  2.02   \n",
       "21  2020-02-10  13.60  13.59  13.62  13.39  1339495  1.931983e+09  1.68   \n",
       "22  2020-02-11  13.69  13.88  14.03  13.65  1407507  2.077194e+09  2.80   \n",
       "23  2020-02-12  13.88  13.86  13.91  13.69  1070503  1.573229e+09  1.59   \n",
       "24  2020-02-13  13.80  13.74  13.97  13.70  1013205  1.491328e+09  1.95   \n",
       "25  2020-02-14  13.84  14.12  14.23  13.79  1512435  2.253906e+09  3.20   \n",
       "26  2020-02-17  14.13  14.46  14.46  14.02  1543696  2.337994e+09  3.12   \n",
       "27  2020-02-18  14.42  14.29  14.42  14.10   973612  1.478274e+09  2.21   \n",
       "28  2020-02-19  14.19  14.33  14.46  14.17   874107  1.333730e+09  2.03   \n",
       "29  2020-02-20  14.36  14.68  14.71  14.19  1235444  1.897923e+09  3.63   \n",
       "30  2020-02-21  14.58  14.67  14.81  14.54   995071  1.546693e+09  1.84   \n",
       "31  2020-02-24  14.55  14.32  14.55  14.24  1191795  1.820184e+09  2.11   \n",
       "32  2020-02-25  14.09  14.13  14.22  13.87  1144575  1.710370e+09  2.44   \n",
       "33  2020-02-26  13.86  14.08  14.36  13.79  1176599  1.769612e+09  4.03   \n",
       "34  2020-02-27  14.05  14.20  14.24  13.98   975271  1.464606e+09  1.85   \n",
       "35  2020-02-28  13.94  13.59  14.13  13.55  1300644  1.906892e+09  4.08   \n",
       "36  2020-03-02  13.64  13.88  14.04  13.55  1116581  1.647432e+09  3.61   \n",
       "37  2020-03-03  14.05  13.81  14.08  13.72  1153584  1.705816e+09  2.59   \n",
       "38  2020-03-04  13.77  13.78  13.87  13.60   862595  1.261123e+09  1.96   \n",
       "39  2020-03-05  13.89  14.48  14.73  13.82  2686602  4.089494e+09  6.60   \n",
       "40  2020-03-06  14.27  14.12  14.36  14.11  1228531  1.858691e+09  1.73   \n",
       "41  2020-03-09  13.80  13.54  13.82  13.51  1665794  2.420392e+09  2.20   \n",
       "42  2020-03-10  13.47  13.85  13.94  13.47  1167865  1.709085e+09  3.47   \n",
       "43  2020-03-11  13.86  13.78  13.97  13.71   814382  1.201251e+09  1.88   \n",
       "44  2020-03-12  13.74  13.77  13.93  13.62   986497  1.447437e+09  2.25   \n",
       "45  2020-03-13  12.99  13.61  13.67  12.99  1169766  1.669010e+09  4.94   \n",
       "\n",
       "    涨跌幅  涨跌额  换手率  \n",
       "0     2.70    0.42    0.79  \n",
       "1     1.94    0.31    0.58  \n",
       "2    -0.68   -0.11    0.44  \n",
       "3     0.50    0.08    0.38  \n",
       "4    -3.02   -0.49    0.44  \n",
       "5     0.83    0.13    0.53  \n",
       "6    -0.63   -0.10    0.30  \n",
       "7     1.90    0.30    0.45  \n",
       "8    -1.43   -0.23    0.67  \n",
       "9    -1.51   -0.24    0.44  \n",
       "10   -1.22   -0.19    0.53  \n",
       "11    0.39    0.06    0.31  \n",
       "12    0.39    0.06    0.38  \n",
       "13   -2.90   -0.45    0.46  \n",
       "14    0.60    0.09    0.37  \n",
       "15   -3.62   -0.55    0.57  \n",
       "16  -10.59   -1.55    1.16  \n",
       "17    4.66    0.61    0.88  \n",
       "18    0.22    0.03    0.77  \n",
       "19    1.02    0.14    0.61  \n",
       "20   -1.08   -0.15    0.48  \n",
       "21   -0.88   -0.12    0.69  \n",
       "22    2.13    0.29    0.73  \n",
       "23   -0.14   -0.02    0.55  \n",
       "24   -0.87   -0.12    0.52  \n",
       "25    2.77    0.38    0.78  \n",
       "26    2.41    0.34    0.80  \n",
       "27   -1.18   -0.17    0.50  \n",
       "28    0.28    0.04    0.45  \n",
       "29    2.44    0.35    0.64  \n",
       "30   -0.07   -0.01    0.51  \n",
       "31   -2.39   -0.35    0.61  \n",
       "32   -1.33   -0.19    0.59  \n",
       "33   -0.35   -0.05    0.61  \n",
       "34    0.85    0.12    0.50  \n",
       "35   -4.30   -0.61    0.67  \n",
       "36    2.13    0.29    0.58  \n",
       "37   -0.50   -0.07    0.59  \n",
       "38   -0.22   -0.03    0.44  \n",
       "39    5.08    0.70    1.38  \n",
       "40   -2.49   -0.36    0.63  \n",
       "41   -4.11   -0.58    0.86  \n",
       "42    2.29    0.31    0.60  \n",
       "43   -0.51   -0.07    0.42  \n",
       "44   -0.07   -0.01    0.51  \n",
       "45   -1.16   -0.16    0.60  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_zh_a_hist_df"
   ]
  }
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